All of Markas's Comments + Replies

Markas80

IIRC grapefruit juice also inhibits metabolizing many other compounds; some medications have warnings against consuming grapefruit juice so you don’t build up dangerous levels of the medication in your body. Check for interactions before you try this.

Markas10

I've been able to buy from the CVS website several times in the past couple months, and even though they're sold out online now, they have some (sparse) in-store availability listed.  Worth checking there, Walgreens, etc. periodically.

Markas110

As a pro Hearthstone player and effective altruist, nicely done! If your son is interested in a free lesson I'd be happy to help him improve his game as a reward for his generosity (though I haven't played arena in a while).

Markas20

Coursera just started a course called Experimentation for Improvement. Is anyone interested in taking it together?

0TylerJay
That actually looks interesting. I've been thinking about reading How to Measure Anything, and this looks similar. I can't promise I'll finish, but I'll at least audit the first week or two. PM me and we can talk about it.
Markas30

I buy a lot of berries, and I've heard conflicting opinions on the health risks of organic vs regular berries (and produce in general). My brief Google research seems to indicate that there's little additional risk if any from non-organic prodce, but if anyone knows more about the subject, I'd appreciate some evidence.

0[anonymous]
Another suggestion (also without citation): It may also be worth evaluating risks associated with certain pesticides common to a crop or region and related externalities (the effect on local food chains). Also, when exposure involves more than one chemical, the overall risk assessment becomes more involved.
8Punoxysm
Without citation: minimal "organic" labeling standards often aren't a very high or impressive barrier to clear.
Markas30

This was the first Coursera course I took! Highly recommended, if anyone's still on the fence.

Markas100

A career question, asked with EA aims in mind, that will hopefully be relevant to many other LW members.

I am considering CS research as a career path, probably in one of AI/ML/distributed systems. I'm currently working as a software developer and I have done extensive MOOC work to pick up a CS background in terms of coursework, but my undergraduate degree is in math and I have no published research.

If I decide that getting a PhD was worthwhile and wanted to apply to good programs, where would I start building my resume and skills? Independent research pr... (read more)

6Barry_Cotter
How to Get into Grad School for Math, Engineering or Computer Science
Markas00

I'm currently making progress through Information Theory (http://videolectures.net/course_information_theory_pattern_recognition/) and I'm considering trying the upcoming Coursera course on Discrete Optimization (https://www.coursera.org/course/optimization) or the one on scientific computing (https://www.coursera.org/course/scicomp), though I'd prefer the latter. I'm open to studying just about any quantitative topic, though - name a MOOC or subject and ask me if I'm interested.

Markas20

I am looking into noise reduction options for sleeping - I'm a side sleeper, and the foam insert earplugs I've been using so far are extremely uncomfortable to sleep on. It is surprisingly hard to find a comprehensive guide for this that's not trying to sell you something. Do any of the sleep hackers around here have suggestions?

(If this is more appropriate for the stupid questions thread, let me know.)

1D_Malik
I haven't tried this, but you could get a white noise generator, or download a white noise app for your phone, or use http://simplynoise.com/ . Or you could wear a headband over your ears, or (what I do) play ASMR over sleep-compatible headphones.
3amacfie
I've had success with Mack's soft silicone earplugs.
Markas00

That sounds great. I haven't finished the first week's material yet, but I'm planning to tackle it tomorrow, and I assume the difficulty/commitment is comparable to Game Theory 1. I'll message you both with contact info.

I'm still on the fence regarding Network Analysis (though I haven't started the work yet, so that may not longer be an option) and Discrete Optimization - I'd be curious to hear your thoughts on both. I'm currently finishing up Bioinformatics Algorithms I, which also had an extremely high workload, so I'm inclined to lean towards fewer total classes unless I've underestimated how relevant or engaging those particular courses are.

2sixes_and_sevens
I didn't actually do Game Theory I on Coursera, but I've had a number of pretty thorough introductions to game theory, and I've touched on social choice theory as part of my degree. My intention with Game Theory II was to flesh that aspect out a bit more formally. Likewise with the Network Analysis and Discrete Optimisation, I've had some pretty thorough introductions to graph theory, combinatorics, discrete mathematics, etc., but I'm keen to get a flavour for different applications. Also I like the practical aspect of Coursera courses. My discrete mathematics course was taught as a maths course rather than a computing course, so it was removed from a practical context. It'll be nice to actually code these things up rather than just talk about them in the abstract or work through them by hand.
2TylerJay
I set up a google group here for the Game Theory course. I set up a first post as a bit of an introduction and a place for anyone who joins to say why they're taking the course. I hadn't heard of the network analysis course, but it looks interesting. I like Matt Jackson as a presenter so this looks like a good course. I don't have time for it right now. I've had my eye on the discreet optimization course for a long time now. I would really like to be able to take it this offering if my schedule permits, though I expect it to have a very high work load. I imagine there would be quite a bit of interest on this one in the LW community so it would be interesting to gauge interest as we get closer to the start date.
Markas00

I had the same issue with the Coursera class, but thought it might be tolerable with a partner - this looks much better, though. I'll message you to discuss details.

Markas50

I'm active on Coursera - currently taking Game Theory II. Other courses that just started but look interesting include Cryptography, Computational Molecular Evolution, and Information Theory. I'm up to try one of those or any other quantitative course that looks interesting with a study partner.

Also, I have a decent background in data science/machine learning through Coursera courses but not much practical experience. If anyone wants to partner for either a competition (something like Kaggle) or to analyze a real data set, I'd be happy to work on that.

3bramflakes
I quit the Coursera information theory one because it was presented so drably and gave very little high level insight into what was going on. It was essentially just the guy reading from the textbook. It's all the things wrong with traditional teaching with none of the benefits of MOOCs (aside from the forums). I'm currently working my way through these lectures. The instructor is engaging, and actually explains what it is we're doing and why we ought to care. I'd be on board with working through them together!
3sixes_and_sevens
I'm also working through Game Theory II on Coursera right now, as well as Social and Economic Network Analysis (presented by Matt Jackson, the Stanford contributor to Game Theory II). I'm planning on starting Discrete Optimisation in March, but it looks like quite a high workload, and I have other study commitments around then, including exams, so may bail out of it at a moment's notice. Uh...wanna hang out? :-)
Markas80

I've been using a similar tactic lately. When an ugh field is blocking some important task, I'll explicitly ask myself "if I actually wanted to solve this problem, what would I do?" That seems to immediately generate enough emotional distance that I can come up with a more granular plan like the one you described.

Markas00

Do you use any quantitative self tools for this? If so, could you elaborate on your data tracking/analysis processes?

2ephion
Yes, but incompletely. I'll track things precisely until a habit is established, at which point I stop tracking everything and check-in every once in a while to make sure I'm still on track. Some things I keep track of consistently, such as my budget, weight lifting numbers, bodyweight, etc. The process is different for different things. I usually start with a Google Drive spreadsheet, and then experiment with other more specific apps if they're better than spreadsheets (they rarely are). If you have any more specific questions, I'd be glad to answer them.
Markas20

Could you talk about your graduate work in AI? Also, out of curiosity, did you weight possible contribution towards a positive singularity heavily in choosing your subfield/projects?

(I am trying to figure out whether it would be productive for me to become familiar with AI in mainstream academia and/or apply for PhD programs eventually.)

0jsteinhardt
I work on computationally bounded statistical inference. Most theoretical paradigms don't have a clean way of handling computational constraints, and I think it's important to address this since the computationally complexity of exact statistical inference scales extremely rapidly with model complexity. I also have recently starting working on applications in program analysis, both because I think it provides a good source of computationally challenging problems, and because it seems like a domain that will force us into using models with high complexity. Singularity considerations were a factor when choosing to work on AI, although I went into the field because AI seems like a robustly game-changing technology across a wide variety of scenarios, whether or not a singularity occurs. I certainly think that software safety is an important issue more broadly, and this partially influences my choice of problems, although I am more guided by the problems that seem technically important (and indeed, I think this is mostly the right strategy even if you care about safety to a fair degree). Learning more about mainstream AI has greatly shaped my beliefs regarding AGI, so it's something that I would certainly recommend. Going to grad school shaped my beliefs even further, even though I had already read many AI papers prior to arriving at Stanford.